Method of intelligent content management in mobile networks

With the advent of 5G, the market has been expecting the immersive user experience with rich multimedia content. Meeting such requirements within the physical constraints of limited spectrum and infrastructure availability is a challenging task, which prevents operators to scale their services properly. Currently, mobile operators are forced to invest large amount of money in their infrastructure, in order to maximize the capacity by network densification and higher frequency reuse factors. The dark side of such trend is that infrastructure becomes more expensive, spectrum price is getting higher and total cost of ownership for operator increases drastically. Nowadays, with the rise of artificial intelligence, cloud and edge computing the network becomes more flexible that opens many opportunities to enhance the performance and user experience. In this paper, we propose a new approach for content management in mobile network by using predictive caching of rich multimedia content in edge servers. Proposed approach is based on the content popularity prediction by using recurrent neural networks, that allows to deliver corresponding content in the close proximity to the target end users by the time it will be needed. Simulation results show that the proposed model is more than 90% accurate for both daily and weekly timeframes. Furthermore, we develop a method of personalized content caching in user devices based on their subscriptions and preferences, to make sure that user will have the best experience. Proposed approach for content management allows to improve the overall network performance by proactive content caching during the time of low network load. Moreover, the proactive caching allows to download the content in the best quality, regardless of the network congestions and bottlenecks.

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Towards a software-based mobility management for 5G: An experimental approach for flattened network architectures

Computer Science and Information Systems ◽

10.2298/csis181101016c ◽

2020 ◽

Vol 17 (1) ◽

pp. 51-70

Author(s):

Jesús Calle-Cancho ◽

José-Manuel Mendoza-Rubio ◽

José-Luis González-Sánchez ◽

David Cortés-Polo ◽

Javier Carmona-Murillo

Keyword(s):

Mobile Networks ◽

Mobility Management ◽

Network Performance ◽

Mobile Network ◽

Network Control ◽

Network Services ◽

Smart Devices ◽

Network Architectures ◽

Data Traffic ◽

Management Capability

The number of mobile subscribers, as well as the data traffic generated by them, is increasing exponentially with the growth of wireless smart devices and the number of network services that they can support. This significant growth is pushing mobile network operators towards new solutions to improve their network performance and efficiency. Thus, the appearance of Software Defined Networking (SDN) can overcome the limitations of current deployments through decoupling the network control plane from the data plane, allowing higher flexibility and programmability to the network. In this context, the process of handling user mobility becomes an essential part of future mobile networks. Taking advantage of the benefits that SDN brings, in this article we present a novel mobility management solution. This proposal avoids the use of IP-IP tunnels and it adds the dynamic flow management capability provided by SDN. In order to analyse performance, an analytical model is developed to compare it with NB-DMM (Network-based DMM), one of the main DMM (Distributed Mobility Management) solutions. Additionally, performance is also evaluated with an experimental testbed. The results allow handover latency in real scenarios and numerical investigations to be measured, and also show that SR-DMM achieves better efficiency in terms of signaling and routing cost than NB-DMM solution.

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FRAMEWORK FOR MODELLING MOBILE NETWORK QUALITY OF EXPERIENCE THROUGH BIG DATA ANALYTICS APPROACH

Journal of Information and Communication Technology ◽

10.32890/jict2018.17.1.8246 ◽

2017 ◽

Author(s):

Ayisat Wuraola Yusuf-Asaju ◽

Zulkhairi Md. Dahalin ◽

Azman Ta’a

Keyword(s):

User Experience ◽

Data Analytics ◽

Network Performance ◽

Laboratory Experiments ◽

Quality Of Experience ◽

Big Data Analytics ◽

Mobile Network ◽

Mobile Internet ◽

Mobile Network Operators

The increase in the usage of different mobile internet applications can cause deterioration in the mobile network performance. Such deterioration often declines the performance of the mobile network services that can influence the mobile Internet user’s experience, which can make the internet users switch between different mobile network operators to get good user experience. In this case, the success of mobile network operators primarily depends on the ability to ensure good quality of experience (QoE), which is a measure of users’ perceived quality of mobile Internet service. Traditionally, QoE is usually examined in laboratory experiments to enable a fixed contextual factor among the participants even though the results derived from these laboratory experiments presented an estimated mean opinion score representing perceived QoE. The use of user experience dataset involving time and location gathered from the mobile network traffic for modelling perceived QoE is still limited in the literature. The mobile Internet user experience dataset involving the time and location constituted in the mobile network can be used by the mobile network operators to make data-driven decisions to deal with disruptions observed in the network performance and provide an optimal solution based on the insights derived from the user experience data. Therefore, this paper proposed a framework for modelling mobile network QoE using the big data analytics approach. The proposed framework describes the process of estimating or predicting perceived QoE based on the datasets obtained or gathered from the mobile network to enable the mobile network operators effectively to manage the network performance and provide the users a satisfactory mobile Internet QoE.

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Quality of Service Issues in Mobile Multimedia Transmission

Multimedia Technologies ◽

10.4018/978-1-59904-953-3.ch104 ◽

2008 ◽

pp. 1422-1440

Author(s):

Nalin Sharda

Keyword(s):

Quality Of Service ◽

Multimedia Information ◽

Mobile Networks ◽

User Interfaces ◽

Error Rate ◽

Mobile Network ◽

Mobile Systems ◽

Multimedia Content ◽

Temporal Aspects

The focus of this chapter is on the quality of service (QoS) aspects involved in transmitting multimedia information via mobile systems. Multimedia content and applications require sophisticated QoS protocols. These protocols need to manage throughput, delay, delay variance, error rate, and cost. How errors are handled in a multimedia session can have significant impact on the delay and delay variance. Coding and compression techniques also influence how the final presentation is transformed by the impediments encountered on a mobile network. Providing the user with the ability to negotiate between cost, quality, and temporal aspects is important, as this allows the user to strike a balance between these factors. In moving from 2G to 3G, and, over the next decade to 4G mobile networks, the ability to transmit multimedia information is going to improve constantly. Nonetheless, providers must develop viable economic models and user interfaces for providing differentiated QoS to the users.

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Content Management Based on Content Popularity Ranking in Information-Centric Networks

Applied Sciences ◽

10.3390/app11136088 ◽

2021 ◽

Vol 11 (13) ◽

pp. 6088

Author(s):

Nazib Abdun Nasir ◽

Seong-Ho Jeong

Keyword(s):

Content Management ◽

Traffic Load ◽

Access Time ◽

The Internet ◽

Network Resources ◽

Hop Count ◽

Content Centric Networking ◽

Content Caching ◽

Content Popularity ◽

Networking Technologies

Users can access the Internet anywhere they go at any time due to the advancement of communications and networking technologies. The number of users and connected devices are rapidly increasing, and various forms of content are becoming increasingly available on the Internet. Consequently, several research ideas have emerged regarding the storage policy for the enormous amount of content, and procedures to remove existing content due to the lack of storage space have also been discussed. Many of the proposals related to content caching offer to identify the popularity of certain content and hold the popular content in a repository as long as possible. Although the host-based Internet has been serving its users for a long time, managing network resources efficiently during high traffic load is problematic for the host-based Internet because locating the host with their IP address is one of the primary mechanisms behind this architecture. A more strategical networking paradigm to resolve this issue is Content-Centric Networking (CCN), a branch of the networking paradigm Information-Centric Networking (ICN) that is focused on the name of the content, and therefore can deliver the requested content efficiently, securely, and faster. However, this paradigm has relatively simple content caching and content removal mechanisms, as it caches all the relevant content at all the nodes and removes the content based on the access time only when there is a lack of space. In this paper, we propose content popularity ranking (CPR) mechanism, content caching scheme, and content removal scheme. The proposed schemes are compared to existing caching schemes such as Leave Copy Everywhere (LCE) and Leave Copy Down (LCD) in terms of the Average Hop Count, content removal schemes such as Least Recently Used (LRU) and Least Frequently Used (LFU) in terms of the Cache Hit Ratio, and finally, the CCN paradigm incorporating the LCE and the LRU schemes and the host-based Internet architecture in terms of Content Delivery Time. Graphical presentations of performance results utilizing the proposed schemes show that the proposed CPR-based schemes for content caching and content removal provide better performance than the host-based Internet and the original CCN utilizing LCE and LRU schemes.

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A Modular Web-Based Software Solution for Mobile Networks Planning, Operation and Optimization

Applied Sciences ◽

10.3390/app11167686 ◽

2021 ◽

Vol 11 (16) ◽

pp. 7686

Author(s):

Adriano Lopes ◽

João Oliveira ◽

Pedro Sebastião ◽

Marco Sousa ◽

Pedro Vieira

Keyword(s):

Mobile Networks ◽

Network Performance ◽

Mobile Network ◽

Life Cycle Management ◽

Functional Requirements ◽

Modular Architecture ◽

Web Based ◽

Multiple Data ◽

Network Simulations ◽

User Friendly

Mobile networks management is increasingly critical due to heavy communications usage by customers and complex due to the multiple technologies and systems deployed. Thus, mno are constantly looking for better software solutions and tools to help them increase network performance and manage their networks more efficiently. In this paper, we present a modular web-based software solution to tackle problems related to mobile network planning, operation and optimization. The solution is focused on a set of functional requirements carefully chosen to support the network life cycle management, from planning to oam and optimisation stages. Based on a 3-tier modular architecture and implemented using only open-source software, the solution handles multiple data sources (e.g., dt and pm) and multiple ran technologies. mno can explore all available data through a flexible and user-friendly web interface, that also includes map-based visualization of the network. Moreover, the solution incorporates a set of recently developed and validated ran algorithms, supporting tasks of network diagnosis, optimization, and planning. Also, with the purpose of optimizing the network, mno can investigate network simulations, using the ran algorithms, of how the network will behave under certain conditions, and visualize the outcome of those simulations.

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Quality of Service Issues in Mobile Multimedia Transmission

Mobile Computing ◽

10.4018/978-1-60566-054-7.ch215 ◽

2009 ◽

pp. 2843-2861

Author(s):

Nalin Sharda

Keyword(s):

Quality Of Service ◽

Multimedia Information ◽

Mobile Networks ◽

User Interfaces ◽

Error Rate ◽

Mobile Network ◽

Mobile Systems ◽

Multimedia Content ◽

Temporal Aspects

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Quality of Service Issues in Mobile Multimedia Transmission

Mobile Multimedia Communications ◽

10.4018/978-1-59140-766-9.ch003 ◽

2011 ◽

pp. 45-63 ◽

Cited By ~ 1

Author(s):

Nalin Sharda

Keyword(s):

Quality Of Service ◽

Multimedia Information ◽

Mobile Networks ◽

User Interfaces ◽

Error Rate ◽

Mobile Network ◽

Mobile Systems ◽

Multimedia Content ◽

Temporal Aspects

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Data-Driven Construction of User Utility Functions from Radio Connection Traces in LTE

Electronics ◽

10.3390/electronics10070829 ◽

2021 ◽

Vol 10 (7) ◽

pp. 829

Author(s):

Antonio J. García ◽

Carolina Gijón ◽

Matías Toril ◽

Salvador Luna-Ramírez

Keyword(s):

User Experience ◽

Mobile Networks ◽

Network Performance ◽

Packet Delay ◽

Lte Networks ◽

Management Processes ◽

Adequate Quality ◽

Qoe Model ◽

The Impact

In recent years, the number of services in mobile networks has increased exponentially. This increase has forced operators to change their network management processes to ensure an adequate Quality of Experience (QoE). A key component in QoE management is the availability of a precise QoE model for every service that reflects the impact of network performance variations on the end-user experience. In this work, an automatic method is presented for deriving Quality-of-Service (QoS) thresholds in analytical QoE models of several services from radio connection traces collected in an Long Term Evolution (LTE) network. Such QoS thresholds reflect the minimum connection performance below which a user gives up its connection. The proposed method relies on the fact that user experience influences the traffic volume requested by users. Method assessment is performed with real connection traces taken from live LTE networks. Results confirm that packet delay or user throughput are critical factors for user experience in the analyzed services.

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QoS Improvement Using In-Network Caching Based on Clustering and Popularity Heuristics in CCN

Sensors ◽

10.3390/s21217204 ◽

2021 ◽

Vol 21 (21) ◽

pp. 7204

Author(s):

Sumit Kumar ◽

Rajeev Tiwari ◽

Wei-Chiang Hong

Keyword(s):

Network Performance ◽

Network Resources ◽

Hop Count ◽

Intermediate Node ◽

Content Centric Networking ◽

Content Caching ◽

Placement Decisions ◽

Network Routers ◽

Content Popularity ◽

Content Availability

Content-Centric Networking (CCN) has emerged as a potential Internet architecture that supports name-based content retrieval mechanism in contrast to the current host location-oriented IP architecture. The in-network caching capability of CCN ensures higher content availability, lesser network delay, and leads to server load reduction. It was observed that caching the contents on each intermediate node does not use the network resources efficiently. Hence, efficient content caching decisions are crucial to improve the Quality-of-Service (QoS) for the end-user devices and improved network performance. Towards this, a novel content caching scheme is proposed in this paper. The proposed scheme first clusters the network nodes based on the hop count and bandwidth parameters to reduce content redundancy and caching operations. Then, the scheme takes content placement decisions using the cluster information, content popularity, and the hop count parameters, where the caching probability improves as the content traversed toward the requester. Hence, using the proposed heuristics, the popular contents are placed near the edges of the network to achieve a high cache hit ratio. Once the cache becomes full, the scheme implements Least-Frequently-Used (LFU) replacement scheme to substitute the least accessed content in the network routers. Extensive simulations are conducted and the performance of the proposed scheme is investigated under different network parameters that demonstrate the superiority of the proposed strategy w.r.t the peer competing strategies.

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An overview of the 5G mobile network architecture

10.34048/2018.3.f1 ◽

2018 ◽

Author(s):

Phanidra Palagummi ◽

Vedant Somani ◽

Krishna M. Sivalingam ◽

Balaji Venkat

Keyword(s):

Wireless Network ◽

Mobile Networks ◽

Network Architecture ◽

Mobile Network ◽

Communication Technologies ◽

Future Generation ◽

Network Function Virtualization ◽

Low Latency ◽

High Bandwidth ◽

Network Technologies

Networking connectivity is increasingly based on wireless network technologies, especially in developing nations where the wired network infrastructure is not accessible to a large segment of the population. Wireless data network technologies based on 2G and 3G are quite common globally; 4G-based deployments are on the rise during the past few years. At the same time, the increasing high-bandwidth and low-latency requirements of mobile applications has propelled the Third Generation Partnership Project (3GPP) standards organization to develop standards for the next generation of mobile networks, based on recent advances in wireless communication technologies. This standard is called the Fifth Generation (5G) wireless network standard. This paper presents a high-level overview of the important architectural components, of the advanced communication technologies, of the advanced networking technologies such as Network Function Virtualization and other important aspects that are part of the 5G network standards. The paper also describes some of the common future generation applications that require low-latency and high-bandwidth communications.

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